public static void Main(string[] args)
{
//DateTime now = DateTime.Now;
args = @"simulate -b 5 -n 1 -t rel -i ..\..\..\etc\$$year$$-runs.txt -j ..\..\..\etc\$$year$$-judgments.txt -e mout -p meta=..\..\..\etc\metadata.txt".Replace("$$year$$",args[0]).Split();
if (args.Length > 0) {
// Check CLI command name
string commandName = args[0].ToLower();
AbstractCommand command = null;
switch (commandName) {
case "-h":
Allcea.PrintMainUsage(null);
Environment.Exit(0);
break;
case "estimate": command = new EstimateCommand(); break;
case "evaluate": command = new EvaluateCommand(); break;
case "next": command = new NextCommand(); break;
case "simulate": command = new SimulateCommand(); break;
case "features": command = new FeaturesCommand(); break;
default:
Console.Error.WriteLine("'" + commandName + "' is not a valid Allcea command. See '" + Allcea.CLI_NAME_AND_VERSION + " -h'.");
Environment.Exit(1);
break;
}
// Parse CLI options
Options options = command.Options;
// help? Cannot wait to parse CLI options because it will throw exception before
if (options.HasOption("h") && args.Contains("-h")) {
Allcea.PrintUsage(null, commandName, options, command.OptionsFooter);
} else {
try {
Parser parser = new BasicParser();
CommandLine cmd = parser.Parse(options, args.Skip(1).ToArray());
// If we have extra CLI options the Parse method doesn't throw exception. Handle here
if (cmd.Args == null || cmd.Args.Length != 0) {
throw new ParseException("Unused option(s): " + string.Join(",", cmd.Args));
}
// Run command
command.CheckOptions(cmd);
command.Run();
} catch (ParseException pe) {
Console.Error.WriteLine((pe.Message.EndsWith(".") ? pe.Message : pe.Message + ".")
+ " See '" + Allcea.CLI_NAME_AND_VERSION + " " + commandName + " -h'.");
Environment.Exit(1);
} catch (Exception ex) {
Console.Error.WriteLine(ex.Message);
Environment.Exit(1);
}
}
} else {
// No CLI options
Allcea.PrintMainUsage(null);
Environment.Exit(1);
}
//Console.Error.WriteLine(DateTime.Now.Subtract(now).TotalMilliseconds);
}
public override void Run()
{
// Read files, initialize store, estimator and measure
IEnumerable <Run> runs = AbstractCommand.ReadInputFile(this._inputPath);
RelevanceEstimateStore store = new RelevanceEstimateStore(AbstractCommand.ReadKnownJudgments(this._judgedPath));
this._estimator.Initialize(runs, new RelevanceEstimate[] { }); // No known judgments at this point
IMeasure measure = new CG(100); //TODO: max relevance
// Compile list of all query-doc-sys-rank tuples
Dictionary <string, Dictionary <string, Dictionary <string, int> > > qdsRanks = AbstractCommand.ToQueryDocumentSystemRanks(runs);
// Re-structure runs for efficient access
Dictionary <string, Dictionary <string, Run> > sqRuns = AbstractCommand.ToSystemQueryRuns(runs);
// Estimate relevance of all query-doc pairs
Dictionary <string, Dictionary <string, RelevanceEstimate> > qdEstimates = new Dictionary <string, Dictionary <string, RelevanceEstimate> >();
foreach (var dsRanks in qdsRanks)
{
string query = dsRanks.Key;
Dictionary <string, RelevanceEstimate> dEstimates = new Dictionary <string, RelevanceEstimate>();
foreach (var sRanks in dsRanks.Value)
{
string doc = sRanks.Key;
dEstimates.Add(doc, this._estimator.Estimate(query, doc)); // Don't estimate yet, will do inside the loop
}
qdEstimates.Add(query, dEstimates);
}
bool needsNext = true;
double confidence = 0.5;
int iteration = 1, judged = 0;
do
{
/* Evaluate */
if (this._target == EvaluationTargets.Relative)
{
// Estimate per-query relative effectiveness
Dictionary <string, Dictionary <string, Dictionary <string, RelativeEffectivenessEstimate> > > ssqRels =
EvaluateCommand.GetSystemSystemQueryRelatives(sqRuns, measure, this._estimator, this._confEstimator);
// Average (already sorted)
List <RelativeEffectivenessEstimate> relSorted = EvaluateCommand.GetSortedMeanRelatives(ssqRels, this._confEstimator);
confidence = relSorted.Average(r => r.Confidence);
if (confidence < this._confidence)
{
measure.ComputeQueryDocumentWeights(qdEstimates, qdsRanks, ssqRels);
}
else
{
needsNext = false;
}
}
else
{
// Estimate per-query absolute effectiveness
Dictionary <string, Dictionary <string, AbsoluteEffectivenessEstimate> > sqAbss =
EvaluateCommand.GetSystemQueryAbsolutes(sqRuns, measure, this._estimator, this._confEstimator);
// Average and sort
List <AbsoluteEffectivenessEstimate> absSorted = EvaluateCommand.GetSortedMeanAbsolutes(sqAbss, this._confEstimator);
confidence = absSorted.Average(a => a.Confidence);
if (confidence < this._confidence)
{
measure.ComputeQueryDocumentWeights(qdEstimates, qdsRanks, sqAbss);
}
else
{
needsNext = false;
}
}
Console.WriteLine(iteration + " : Conf=" + confidence + " Judged=" + judged);
if (needsNext)
{
/* Next */
var batches = NextCommand.GetBatches(qdEstimates, this._batchNum, this._batchSize);
// "Judge" all batches
foreach (var batch in batches)
{
Console.WriteLine(batch[0].Query + " : " + string.Join(" ", batch.Select(d => d.Document)));
foreach (var doc in batch)
{
this._estimator.Update(store.Estimate(doc.Query, doc.Document));
judged++;
// Remove from list of pending
var dEstimates = qdEstimates[doc.Query];
dEstimates.Remove(doc.Document);
if (dEstimates.Count == 0)
{
qdEstimates.Remove(doc.Query);
}
}
}
/* Re-estimate */
// Re-estimate relevance of pending query-doc pairs
foreach (var dEstimates in qdEstimates)
{
string query = dEstimates.Key;
Dictionary <string, RelevanceEstimate> estimates = dEstimates.Value;
foreach (string doc in estimates.Keys.ToArray())
{
estimates[doc] = this._estimator.Estimate(query, doc);
}
}
}
iteration++;
} while (needsNext);
// TODO: output effectiveness estimates
}
public override void Run()
{
// Read files
IEnumerable <Run> runs = AbstractCommand.ReadInputFile(this._inputPath);
IEnumerable <RelevanceEstimate> judged = new RelevanceEstimate[] { };
if (this._judgedPath != null)
{
judged = AbstractCommand.ReadKnownJudgments(this._judgedPath);
}
IEnumerable <RelevanceEstimate> estimates = AbstractCommand.ReadEstimatedJudgments(this._estimatedPath);
// Instantiate estimate store and measure
RelevanceEstimateStore store = new RelevanceEstimateStore(estimates);
store.Update(judged);
IMeasure measure = new CG(100); //TODO: max relevance
// Compile list of all query-doc-sys-rank tuples
Dictionary <string, Dictionary <string, Dictionary <string, int> > > qdsRanks = AbstractCommand.ToQueryDocumentSystemRanks(runs);
// Re-structure estimates
Dictionary <string, Dictionary <string, RelevanceEstimate> > qdEstimates = new Dictionary <string, Dictionary <string, RelevanceEstimate> >();
foreach (var est in estimates)
{
Dictionary <string, RelevanceEstimate> dEstimates = null;
if (!qdEstimates.TryGetValue(est.Query, out dEstimates))
{
dEstimates = new Dictionary <string, RelevanceEstimate>();
qdEstimates.Add(est.Query, dEstimates);
}
dEstimates.Add(est.Document, est);
}
// Remove judged query-docs
foreach (var j in judged)
{
Dictionary <string, RelevanceEstimate> dEstimates = null;
if (qdEstimates.TryGetValue(j.Query, out dEstimates))
{
dEstimates.Remove(j.Document);
if (dEstimates.Count == 0)
{
qdEstimates.Remove(j.Query);
}
}
}
bool needsNext = false;
// Re-structure runs for efficient access
Dictionary <string, Dictionary <string, Run> > sqRuns = AbstractCommand.ToSystemQueryRuns(runs);
if (this._target == EvaluationTargets.Relative)
{
// Estimate per-query relative effectiveness
Dictionary <string, Dictionary <string, Dictionary <string, RelativeEffectivenessEstimate> > > ssqRels =
EvaluateCommand.GetSystemSystemQueryRelatives(sqRuns, measure, store, this._confEstimator);
// Average (already sorted)
List <RelativeEffectivenessEstimate> relSorted = EvaluateCommand.GetSortedMeanRelatives(ssqRels, this._confEstimator);
if (relSorted.Average(r => r.Confidence) < this._confidence)
{
needsNext = true;
measure.ComputeQueryDocumentWeights(qdEstimates, qdsRanks, ssqRels);
}
}
else
{
// Estimate per-query absolute effectiveness
Dictionary <string, Dictionary <string, AbsoluteEffectivenessEstimate> > sqAbss =
EvaluateCommand.GetSystemQueryAbsolutes(sqRuns, measure, store, this._confEstimator);
// Average and sort
List <AbsoluteEffectivenessEstimate> absSorted = EvaluateCommand.GetSortedMeanAbsolutes(sqAbss, this._confEstimator);
if (absSorted.Average(a => a.Confidence) < this._confidence)
{
needsNext = true;
measure.ComputeQueryDocumentWeights(qdEstimates, qdsRanks, sqAbss);
}
}
if (needsNext)
{
var batches = NextCommand.GetBatches(qdEstimates, this._batchNum, this._batchSize);
TabSeparated io = new TabSeparated(this._decimalDigits);
((IWriter <List <RelevanceEstimate> >)io).Write(Console.Out, batches.Take(this._batchNum));
}
}
